Data Analyst | python | SQL | Excel | Power BI
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Customer-Segmentation
January 21, 2026 – Present
Performed customer segmentation using Python, SQL, and Power BI by analyzing purchase behavior and customer attributes. Applied clustering techniques to identify distinct customer groups and support targeted marketing strategies.
View ProjectCitizen-Identity-Enrollment-Management-System
January 20, 2026 – Present
This project studies citizen enrollment data from a national identity registration system. The analysis helps understand how people enroll across different regions and age groups, identify trends, and improve the overall enrollment process using data analytics.
View ProjectIMDB-MOVIES
January 17, 2026 – Present
The goal of this project is to analyze and visualize IMDB movie data to extract meaningful insights about movie trends, director performance, ratings, revenue, and popularity. This project demonstrates skills in SQL for data cleaning and transformation and Power BI for dashboard creation and data visualization
View ProjectJob-Market-Analysis
January 8, 2026 – Present
Analysis of job market trends using real-world data
View ProjectFinancial-Revenue-Analysis-
December 18, 2025 – Present
Financial Revenue Dashboard Using Sql Power bi and Excel
View ProjectSales-Performance-Analysis
December 17, 2025 – Present
Sales Performance Dashboard using Power BI, SQL, and Excel
View ProjectTelecom-Churn-Analysis
November 15, 2025 – Present
To analyze customer behavior, identify the key factors driving churn, and provide actionable insights to improve customer retention
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a focus on data analysis, which aligns with the target role of Data Analyst. The diversity of projects (financial, customer segmentation, citizen enrollment, movie analysis, job market, sales, telecom churn) suggests a broad interest in applying data analytics across different domains. However, all projects are personal, which limits insight into collaborative work or professional environment fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed analytical tasks.